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Robinhood Lets Customers Use AI To Trade Stocks, Make Credit-Card Purchases

Zero Rss
2 months 2 weeks ago
Robinhood Lets Customers Use AI To Trade Stocks, Make Credit-Card Purchases

Robinhood Markets is launching a new feature whereby customers can hand their money to an AI agent for automated trading and credit-card purchase decisions. 

The brokerage is enabling users to link external AI agents-such as Anthropic’s Claude or coding agent Cursor-to a dedicated investment account. Within that account, the AI can access allocated funds and execute stock trades based on user instructions.

Users can provide detailed prompts - directing the agent to identify investment opportunities by analyzing startup funding, deal activity, and private-company valuations ahead of public market discovery. And when it zeroes out your account, maybe it'll be your therapist.

For now, the feature supports stock trades only; options, crypto, and event-contract capabilities are planned for later rollout.

Robinhood will send push notifications for every trade executed by the agent, along with a real-time activity feed in the app. Users retain the ability to monitor activity and disconnect the agent at any time.

The company is also letting people hand their credit card over... Customers can connect an AI agent to a virtual version of the company's Gold credit card, enabling it to search for deals, monitor availability, and make purchases according to specified instructions-such as booking flights or securing event tickets within price limits. Agents are restricted to the virtual card and cannot access primary card details. Users can impose spending limits or require approval for every transaction.

Abhishek Fatehpuria, Robinhood’s vice president of product management, told the Wall Street Journal that they're just giving customers what they want. 

"One thing that we’ve learned from talking to our customers is that they want to give their agents the power of Robinhood, but in a very safe way," Fatehpuria said. 

Robinhood has already unleashed AI for portfolio analyses and market insights, so this is a natural evolution of the technology, execs say. 

Black Box or Black Hole

While the new tools offer convenience and automation, handing financial decisions to agentic black boxes has crushed many a vibecoding tech bro with dreams of escaping the wage cage.

AI models excel at processing vast data quickly but can exhibit biases, errors, and limitations. Research from Harvard Business School found that large language models like ChatGPT displayed a “foreign bias” when analyzing Chinese stocks, issuing overly optimistic forecasts compared to models with better local data access. When fed additional Chinese-sourced negative news, the excess optimism vanished. Similar biases appeared in newer models.

Performance records for AI-driven trading strategies are mixed at best. Many active and algorithmic approaches, including early AI-powered funds, have underperformed simple broad-market index funds over time. Factors like overfitting, rapid arbitrage of any discovered edges, and herding behavior among similar AI systems can erode advantages quickly.

Systemic concerns are also significant. Concentrated use of similar AI models could amplify volatility through simultaneous reactions-echoing past flash crashes triggered by automated trading. Regulatory warnings, including from the SEC on “AI washing” (overhyping capabilities), highlight cases where promised predictive power proved illusory or fraudulent.

For retail investors, the appeal of delegating to an AI “black box” is clear: it promises emotion-free, data-driven decisions. It may work well for some in narrow, controlled scenarios with strong oversight and diversification. However, evidence shows most people rug themselves. Markets are noisy, adaptive systems where past patterns offer limited predictive power, and human behavioral coaching often adds more value than automated stock-picking. For sure there are some powerful algorithmic tools out there, but you can't be a moron.

We're sure Robinhood's lawyers are loving this, however the company promises massive safeguards - such as dedicated accounts, notifications, and disconnect options. Still, users should approach these tools with caution: treat AI outputs as one input among many, maintain diversification, understand the limitations of the specific models involved, and avoid allocating more capital than they can afford to lose.

"I've seen liquidations you bros wouldn't believe. Overleveraged portfolios on fire off the shoulder of a bad API key. I watched vibecoded AI quants hallucinate buy signals in the dark pools near the margin call. All that generational wealth will be zeroed out in the ledger, like liquidity in a rug pull. Time to post screenshots to /r/wallstreetbets." -Roy Batty, (probably)

 

Tyler Durden Wed, 05/27/2026 - 11:20
Tyler Durden

The Quiet Collapse Under The Market's Surface...It's Getting Louder

Zero Rss
2 months 2 weeks ago
The Quiet Collapse Under The Market's Surface...It's Getting Louder

 Submitted by QTR's Fringe Finance

The market is hypnotized by headlines out of the Middle East. Every missile strike, every oil spike, every rumor about escalation with Iran sends volatility dealers and gamma-chasing algorithms into another violent intraday swing.

But beneath the geopolitical theater, a dangerous story continues to deteriorate quietly in the background: multiple areas are cracking in a way that looks increasingly systemic, and almost nobody wants to talk about it. But I won’t shut up about it.

Why? Try this on for size. According to Fitch Ratings, the U.S. Private Credit Default Rate just hit another all-time high. Fitch reported that the trailing twelve-month private credit default rate rose to 6.0% for April 2026, up from 5.7% in March and the highest level since the firm began tracking the data in August 2024.

The model-based default rate climbed to a record 4.8%, while the privately monitored rating default rate remained an astonishing 9.7%. Those are accelerating cracks.

Fitch recorded 10 private credit default events in April alone, heavily concentrated in industrials, manufacturing, and business services. More importantly, the composition of those defaults matters. The majority were not traditional payment misses. Seven involved distressed maturity extensions, lenders kicking maturities one to two years down the road simply to avoid recognizing immediate failure. The remaining defaults largely involved borrowers introducing payment-in-kind interest structures instead of paying cash interest.

This isn’t normal business operations for private credit. Instead it’s like running a triage at an emergency room. Extending and pretending while hoping magic liquidity comes out of nowhere and saves the day is a strategy popular on Wall Street. The only problem is when that liquidity never arrives, the chaos is multiples larger than it would have been if these businesses had done the right thing years prior.

The most alarming detail from Fitch may be this: in the April trailing twelve-month period, Fitch counted 81 unique defaulters generating 99 separate default events — the highest number ever recorded since tracking began. More than half of all default activity came from interest deferrals or PIK structures replacing actual cash payments.

In plain English, companies are increasingly surviving by pretending they are solvent when they aren’t.

Healthcare providers remain among the worst areas, while consumer products posted an extraordinary 11.1% default rate. Industrials and manufacturing surged to a 9.1% default rate, nearly doubling year-over-year. Fitch itself warned that prolonged Iran-related inflation pressure and higher energy costs could further weaken consumer demand and increase rating pressure on industrial issuers.

As I’ve written for the last year (at least), private credit was sold as a superior replacement for traditional banking risk. Investors were told that direct lenders had tighter covenants, better borrower visibility, superior workout flexibility, and floating-rate protection. What actually happened was a decade-long explosion of leverage financed by ultra-cheap money and dependent on permanently low defaults.

Now rates are higher, refinancing windows are shrinking, and many of these companies were never structurally viable at current borrowing costs.

I have already argued repeatedly that rates likely need to go higher from here because inflation pressures remain embedded throughout the system. The bond market understands this. Long-end yields continue to scream that inflation expectations are not anchored, fiscal credibility is deteriorating, and Treasury supply is becoming overwhelming. And the problem is simple: every additional increment higher in rates worsens private credit defaults materially.

A massive portion of these borrowers are floating-rate structures. Every basis point increase directly raises debt servicing costs for already fragile companies. Many sponsors are now choosing between injecting fresh equity into deteriorating businesses or simply extending and pretending until the market forces recognition.

At the same time, the U.S. consumer is visibly weakening. Auto loan delinquencies and credit card delinquencies that are 90+ days past due have already returned to levels last seen during the 2008 financial crisis. Households have burned through excess savings, financing costs have exploded, and inflation continues to erode purchasing power.

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The consumer exhaustion is no longer theoretical. The only question is whether or not consumer exhaustion even matters. During Covid, when the Fed printed a metric fuck ton of cash in the absence of having an actual economy, consumer behavior — sitting at home and drinking beer, if you were me — didn’t matter. But now, with the Fed’s inability to paper over the entire economy again due to inflation, consumer behavior may actually matter.

Now the Federal Reserve — and potentially the incoming Fed Chair — is trapped in an impossible position. Inflation remains too sticky to justify aggressive easing. The bond market is revolting against fiscal expansion and demanding higher yields. Yet the real economy, particularly lower-income consumers and heavily leveraged borrowers, is weakening rapidly beneath the surface.

There are no clean choices left. Cut rates too early and inflation risks reigniting while bond yields surge even higher in response. Keep rates elevated and the pressure wave moving through private credit, consumer lending, commercial real estate, and corporate refinancing only intensifies.

Meanwhile, equity markets continue trading like geopolitical prediction markets. The Iran conflict has become the dominant headline catalyst for every daily gamma swing we now call a stock market. Algorithms chase oil, defense stocks, and volatility spikes while investors remain fixated on the next military escalation.

But behind the scenes, the underlying financial plumbing continues to deteriorate.

Private credit defaults are rising to records. Consumers are rolling over. Delinquencies are back at crisis-era levels. Bond market stress is intensifying. And leverage built during the zero-rate era is finally colliding with the reality of sustained capital costs.

Markets can ignore structural deterioration for a surprisingly long time, but eventually, reality forces recognition.

Like a drunk finally waking up clear-headed after a long night, at some point this market will sober up and realize that beneath the geopolitical distractions, the foundation itself has been quietly cracking the entire time. In the meantime, here’s a couple ideas I’ve thrown around about trying to sidestep a bond crisis, should it occur: What To Own Before A Bond Market Crisis

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QTR’s Disclaimer: Please read my full legal disclaimer on my About page here. This post represents my opinions only. In addition, please understand I am an idiot and often get things wrong and lose money. I may own or transact in any names mentioned in this piece at any time without warning. Contributor posts and aggregated posts have been hand selected by me, have not been fact checked and are the opinions of their authors. They are either submitted to QTR by their author, reprinted under a Creative Commons license with my best effort to uphold what the license asks, or with the permission of the author.

This is not a recommendation to buy or sell any stocks or securities, just my opinions. I often lose money on positions I trade/invest in. I may add any name mentioned in this article and sell any name mentioned in this piece at any time, without further warning. None of this is a solicitation to buy or sell securities. I may or may not own names I write about and are watching. Sometimes I’m bullish without owning things, sometimes I’m bearish and do own things. Just assume my positions could be exactly the opposite of what you think they are just in case. If I’m long I could quickly be short and vice versa. I won’t update my positions. All positions can change immediately as soon as I publish this, with or without notice and at any point I can be long, short or neutral on any position. You are on your own. Do not make decisions based on my blog. I exist on the fringe. If you see numbers and calculations of any sort, assume they are wrong and double check them. I failed Algebra in 8th grade and topped off my high school math accolades by getting a D- in remedial Calculus my senior year, before becoming an English major in college so I could bullshit my way through things easier.

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Tyler Durden Wed, 05/27/2026 - 11:00
Tyler Durden

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